In this guide, you will learn how incremental data loading works by transferring only new or updated data instead of reloading entire datasets. It explains how this approach improves efficiency, reduces resource usage, and speeds up ETL processes compared to full data loads, while demonstrating how to implement it using variables and filters to track and load changes over time.
This guide contains five chapters:
- Full Data Load vs Incremental Data Load
- Model. Full data load
- Discover. 2019 visualization
- Model. Incremental data load
- Discover. 2020 visualization
(🕑 10 mins)